Early Diagnosis of Autism Spectrum Disorder: What the Pediatricians Should Know

Nutritional Approaches in Autism Spectrum Disorder: A Scoping Review

PURPOSE OF REVIEW

This review was conducted to discuss the etiology of autism in the light of current information, to draw attention to the fact that defects in different biological mechanisms cause autism, and to examine the effectiveness of dietary interventions and supplements in relieving ASD symptoms.

RECENT FINDINGS

Autism spectrum disorder (ASD) is an extremely heterogeneous condition characterized by delays in reciprocal social interaction and communication skills, stereotyped behaviors, and a narrowed range of interests and limited activities. Comorbid conditions such as cognitive impairment, epilepsy, psychiatric diseases, and behavioral symptoms such as impaired social communication, repetitive behaviors, lack of interest in the environment, nutritional disorders, gastrointestinal diseases and abnormal (dysbiotic) states, sleep disorders, and dysmorphism are frequently encountered in individuals with ASD. Although nutrition is one of the environmental factors affecting ASD, it can also be effective in alleviating the behavioral and gastrointestinal symptoms of ASD. Various dietary models (GFCF diet, low glycemic index diet, ketogenic diet, specific carbohydrate diet, Mediterranean diet, GAPS, Feingold, Candida body ecology, allergy elimination diets, etc.) and supplements (vitamin D, polyunsaturated fatty acids, probiotics and prebiotics, phytochemicals) can be used to alleviate symptoms in individuals with ASD. The effectiveness and reliability of dietary interventions in individuals with ASD are a matter of significant debate, and the evidence for these practices is limited. Furthermore, there is no consensus on establishing an ideal nutritional model for individuals with ASD.

Nurse participation in detecting signs of childhood autism in Primary Health Care

OBJECTIVES

to understand nurse participation in the process of early detection of warning signs of autism spectrum disorders (ASD) in childcare consultations.

METHODS

qualitative, exploratory research, conducted through semi-structured interviews conducted between August and November 2022 with 27 nurses from family clinics in the city of Rio de Janeiro. The IRaMuTeQ® software was used for data treatment. Interpretations and theorizing were guided by Hildegard Peplau's Theory of Interpersonal Relations.

RESULTS

lexical analysis pointed out thematic aspects related to the dynamics of development assessment, interpersonal relationship practices between nurses and family members as well as limits and interrelationships between healthcare professionals involved in early detection.

FINAL CONSIDERATIONS

childcare consultations are characterized as a unique resource for the early detection of warning signs of ASD. Nurses need to be recognized as strategic agents in the face of this demand, especially in caring for socioeconomically vulnerable families.

Knowledge, Behaviours, and Attitudes of Family Physicians and Residents About Autism Spectrum Disorder in Turkey: A Descriptive Cross-Sectional Study

AIM

Autism Spectrum Disorder (ASD) is a growing social health issue. Primary healthcare institutions are where children most commonly seek help, and family physicians in primary care play a crucial role in early ASD detection. This study aims to assess the knowledge level, behaviours, and attitudes of family physicians and family medicine residents across Turkey, identify factors affecting their knowledge, and raise awareness among physicians.

SUBJECT AND METHODS

This descriptive cross-sectional study was conducted between March and June 2022, with the participation of family medicine specialists, residents, and practicing physicians in Turkey. A 50-question survey was administered face-to-face and digitally. The survey comprised 31 questions on sociodemographic information, factors influencing knowledge, attitudes and behaviours about ASD. The second part included a 19-question "Knowledge about childhood autism among health workers" (KCAHW) questionnaire.

RESULTS

The study included 392 physicians with a mean age of 32.8 ± 7.9; 60.7% were women. Among the participants, 50.3% were family medicine residents, 21.7% were family medicine specialists, 17.0% were family physicians and 11.0% were contracted family medicine residents. The physicians' mean KCAHW score was 14.1 ± 2.6. Screening for ASD and following ASD were significantly associated with the perception of knowledge level (p = 0.004; p = 0.028, respectively). A statistically significant relationship was found between paediatric rotation, education about ASD, patient follow-ups and the KCAHW scores. Moreover, 98.2% of physicians believed children with ASD should receive special education, while 79.6% thought ASD carried a social stigma, and 52% believed an ASD diagnosis could lead to discrimination.

CONCLUSION

The study found that participants lacked knowledge about comorbidities with ASD, atypical presentations of ASD, and guiding individuals with ASD. However, having a paediatric rotation, receiving ASD training and following up on children with ASD were associated with increased knowledge levels. Screening for and following up on children with ASD also boosted physicians' self-confidence.

Preferences for Neurodevelopmental Follow-Up Care for Children: A Discrete Choice Experiment

INTRODUCTION

Identifying and addressing neurodevelopmental delays in children can be challenging for families and the healthcare system. Delays in accessing services and early interventions are common. The design and delivery of these services, and associated outcomes for children, may be improved if service provision aligns with families' needs and preferences for receiving care. The aim of this study is to identify families' preferences for neurodevelopmental follow-up care for children using an established methodology.

METHODS

We used a discrete choice experiment (DCE) to elicit families' preferences. We collected data from families and caregivers of children with neurodevelopmental needs. The DCE process included four stages. In stage 1, we identified attributes and levels to be included in the DCE using literature review, interviews, and expert advice. The finalised attributes were location, mode of follow-up, out-of-pocket cost per visit, mental health counselling for parents, receiving educational information, managing appointments, and waiting time. In stage 2, we generated choice tasks that contained two alternatives and a 'neither' option for respondents to choose from, using a Bayesian d-efficient design. These choice tasks were compiled in a survey that also included demographic questions. We conducted pre- and pilot tests to ensure the functionality of the survey and obtain priors. In stage 3, the DCE survey was administered online. We received 301 responses. In stage 4, the analysis was conducted using a latent class model. Additionally, we estimated the relative importance of attributes and performed a scenario analysis.

RESULTS

Two latent classes were observed. More families with full-time employees, higher incomes, postgraduate degrees, and those living in metropolitan areas were in class 1 compared with class 2. Class 1 families preferred accessing local public health clinics, face-to-face follow-up, paying AUD100 to AUD500, mental health support, group educational activities, health service-initiated appointments, and waiting < 3 months. Class 2 families disliked city hospitals when compared with private, preferred paying AUD100 or no cost, and had similar preferences regarding mental health support and wait times as class 1. However, no significant differences were noted in follow-up modality, receiving educational information, and appointment management. The relative importance estimation suggested that location was most important for class 1 (28%), whereas for class 2, cost accounted for nearly half of the importance when selecting an alternative. The expected uptake of follow-up care, estimated under three different hypothetical scenarios, may increase by approximately 24% for class 2 if an 'ideal' scenario taking into account preferences was implemented.

CONCLUSION

This study offers insights into aspects that may be prioritised by health services and policymakers to improve the design and delivery of neurodevelopmental follow-up care for children. The findings may enhance the organisation and functioning of existing care programmes; and therefore, improve the long-term outcomes of children with neurodevelopmental needs and their families.

Differential item functioning in the autism behavior checklist in children with autism spectrum disorder based on a machine learning approach

Aim

Our study utilized the Rasch analysis to examine the psychometric properties of the Autism Behavior Checklist (ABC) in children with autism spectrum disorder (ASD).

Methods

A total of 3,319 children (44.77 ± 23.52 months) were included. The Rasch model (RM) was utilized to test the reliability and validity of the ABC. The GPCMlasso model was used to test the differential item functioning (DIF).

Result

The response pattern of this sample showed acceptable fitness to the RM. The analysis supported the unidimensionality assumption of the ABC. Disordered category functions and DIF were found in all items in the ABC. The participants responded to the ABC items differently depending not only on autistic traits but also on age groups, gender, and symptom classifications.

Conclusion

The Rasch analysis produces reliable evidence to support that the ABC can precisely depict clinical ASD symptoms. Differences in population characteristics may cause unnecessary assessment bias and lead to overestimated or underestimated symptom severity. Hence, special consideration for population characteristics is needed in making an ASD diagnosis.

Recreational ball games are effective in improving social communication impairments among preschoolers diagnosed with autism spectrum disorder: a multi-arm controlled study

BACKGROUND

This study aimed to compare the effects of two 12-week training intervention experimental ball games combined with standard behavioral rehabilitation against a control group solely utilizing standard behavioral rehabilitation on social communication impairments (SCI) in preschool children with Autism Spectrum Disorder (ASD).

METHODS

A multi-arm controlled study design was implemented, involving 41 children diagnosed with ASD (mean age: 4.99 ± 0.76 years). 41 participants were randomized assigned to two experimental groups and a control group, The experimental group carried out ball combination training program group (BCTP) and mini-basketball training program group (MBTP) on the basis of routine behavioral rehabilitation, which underwent 12-week training interventions 5 times a week. The control group (n = 14) received only standard behavioral rehabilitation. Evaluations were conducted before and after interventions using the Social Responsiveness Scale, Second Edition (SRS-2).

RESULTS

The results suggest that both 12-week interventions, BCTP, and MBTP, led to significant improvements in social communication impairment among children with ASD (p < 0.05). Despite enhancing the overall scores on the SRS-2, these interventions displayed varying impacts across different sub-dimensions. BCTP primarily exhibited significant enhancements in social awareness and behavior pattern (p < 0.05), whereas MBTP significantly improved social cognition and social communication (p < 0.05). Both interventions showed slight improvements in social motivation.

CONCLUSIONS

The utilization of recreational ball games has showed to be effective in decreasing the impairment levels of children with ASD, while the control group experienced a worsening of outcomes. This suggests that irrespective of the specific ball game strategy employed, both can be employed on a weekly basis to complement standard behavioral rehabilitation and enhance the ability to improve the quality of life for children diagnosed with ASD.

TRIAL REGISTRATION

The trial is retrospectively registered on the Chinese Clinical Trial Registry (ChiCTR1900024973;August 5, 2019).

Risk cycling in diabetes and autism spectrum disorder: a bidirectional Mendelian randomization study

Objective

The relationship between diabetes mellitus (DM) and autism spectrum disorder (ASD) remains controversial. This study aimed to analyze the causal relationship between different types of DM and ASD by bidirectional Mendelian randomization (MR).

Methods

Single nucleotide polymorphisms for type 1 diabetes mellitus (T1DM), type 2 diabetes mellitus (T2DM), gestational diabetes mellitus (GDM), and ASD were obtained from genome-wide association studies. Subsequently, inverse variance weighted, MR-Egger, and weighted median were used to test the exposure-outcome causality. Finally, MR-Egger's intercept, Cochran's Q, and leave-one-out method were used to assess horizontal pleiotropy, heterogeneity, and sensitivity of the results, respectively.

Results

The positive analysis showed that T2DM was associated with an increased risk of ASD, whereas neither T1DM nor GDM was associated with the risk of ASD. The reverse analysis showed that ASD was associated with an increased risk of T2DM, while it was not associated with the risk of either T1DM or GDM. MR-Egger intercept showed no horizontal pleiotropy (p > 0.05) for these results. Cochran's Q showed no heterogeneity expect for the results of T1DM on the risk of ASD, and leave-one-out sensitivity analysis showed these results were robust.

Conclusion

This MR analysis suggests that T2DM and ASD are reciprocal risk factors and that they may create an intergenerational risk cycling in female patients. Aggressive prevention and treatment of T2DM and ASD help to break the trap of this risk cycling. Additionally, this study does not support a causal relationship between T1DM and ASD, as well as GDM and ASD. And more studies are needed in the future to continue to explore the interactions and underlying mechanisms between different types of DM and ASD.

The Association between Autism Spectrum Disorder and Precocious Puberty: Considering Effect Modification by Sex and Neuropsychiatric Comorbidities

Limited knowledge is available about the association between autistic spectrum disorder (ASD) and precocious puberty. Our study examined the association between the two medical conditions and effect modification by sex and neuropsychiatric comorbidities in a nationwide population. To compare the risk of precocious puberty between ASD and non-ASD cases, we conducted a Cox regression analysis using ASD as the exposure and time to precocious puberty as the outcome. We adjusted for sex, attention-deficit/hyperactivity disorder (ADHD), tic disorder, obsessive-compulsive disorder (OCD), anxiety disorder, intellectual disability, and epilepsy. We performed a moderation analysis to examine the potential moderating effects of sex and comorbidities. Patients with ASD were prone to have precocious puberty, with an adjusted hazard ratio (aHR) of 1.80 (95% CI: 1.61-2.01). For effect modification, sex, specifically females, moderated the association between ASD and precocious puberty, with a relative excess risk due to interaction (RERI) of 7.35 (95% CI 4.90-9.80). No significant effect modification was found for any of the comorbidities within the scope of additive effect modification. We found that patients with ASD were prone to precocious puberty, regardless of sex or comorbid neuropsychiatric disorders. Girls with ASD are at a particularly higher risk of developing precocious puberty.

Identification of autism spectrum disorder based on electroencephalography: A systematic review

Autism Spectrum Disorder (ASD) is a neurodevelopmental disorder characterized by difficulties in social communication and repetitive and stereotyped behaviors. According to the World Health Organization, about 1 in 100 children worldwide has autism. With the global prevalence of ASD, timely and accurate diagnosis has been essential in enhancing the intervention effectiveness for ASD children. Traditional ASD diagnostic methods rely on clinical observations and behavioral assessment, with the disadvantages of time-consuming and lack of objective biological indicators. Therefore, automated diagnostic methods based on machine learning and deep learning technologies have emerged and become significant since they can achieve more objective, efficient, and accurate ASD diagnosis. Electroencephalography (EEG) is an electrophysiological monitoring method that records changes in brain spontaneous potential activity, which is of great significance for identifying ASD children. By analyzing EEG data, it is possible to detect abnormal synchronous neuronal activity of ASD children. This paper gives a comprehensive review of the EEG-based ASD identification using traditional machine learning methods and deep learning approaches, including their merits and potential pitfalls. Additionally, it highlights the challenges and the opportunities ahead in search of more effective and efficient methods to automatically diagnose autism based on EEG signals, which aims to facilitate automated ASD identification.

Challenges in Disability Certification in Specific Learning Disability and Autism Spectrum Disorders in an Indian Context

The Rights of Persons with Disabilities (RPWD) Act is a significant step towards safeguarding the rights and inclusion of individuals with disabilities. Disability certificates from certified authorities enable people with benchmark disabilities to receive the concessions stipulated by the Act. This chapter examines the challenges surrounding disability certification for two conditions— autism spectrum disorder, and specific learning disorder in India. A brief overview of these issues are provided, encompassing inadequacies of the prescribed assessment tools and procedure, social stigma, misuse, and laborious proceedings, which impede due certification. These challenges can be addressed through policy changes, multilingual assessment tools, psychoeducation, training educators, and a focus on remedial education. Further research is needed to fully recognize the prevalence, outcomes, and assessment practices in the country, the findings of which can inform policies to create an inclusive and supportive environment for people with disabilities.

Early detection of neurodevelopmental disorders in African children living in informal settlements in Nairobi

BACKGROUND

Children in low-income and middle-income countries (LMICs) are at a substantially increased risk of delayed physical, emotional and sociocognitive outcomes, with consequential neurodevelopmental disorders. Evidence based, cost-effective and culturally appropriate screening tools are recommended for early identification of developmental disorders.

METHODS

The present study aims to assess the feasibility of early screening for neurodevelopmental disorders in children living in informal settlements in Nairobi, Kenya (Korogocho). The selected tools (ie, the CDC checklist and the Modified Checklist for Autism in Toddlers, Revised (M-CHAT-R)), widely used in high-income countries, are applied in two different populations: one from Kenya (LMIC) and one from Italy, to compare the different scores.

RESULTS

Of 509 children screened, 8.6% were classified at-risk based on the results of the screening tools. Significant risk factors are history of low birth weight and Apgar score, presence of neurological disorders, malnutrition and/or rickets, younger age of the child and older age of the mother. Caesarean section delivery, first pregnancy and mothers' older age were common risk factors among the Kenyan and the Italian samples. The Italian sample had a significantly greater rate of missed milestones.

CONCLUSIONS

Our data demonstrate the feasibility of using the CDC and M-CHAT-R tools in informal settlement dwellers. Further studies are needed to explore the opportunity for early diagnosis of developmental disorders in LMICs.

Olink proteomics profiling platform reveals non-invasive inflammatory related protein biomarkers in autism spectrum disorder

Background

Owing to the lack of valid biomarkers, the diagnosis of autism spectrum disorder (ASD) diagnosis relies solely on the behavioral phenotypes of children. Several researchers have suggested an association between ASD and inflammation; however, the complex relationship between the two is unelucidated to date. Therefore, the current study aims to comprehensively identify novel circulating ASD inflammatory biomarkers.

Methods

Olink proteomics was applied to compare the plasma inflammation-related protein changes in a group of the healthy children (HC, n = 33) and another with ASD (n = 31). The areas under the receiver operating characteristic curves (AUCs) of the differentially expressed proteins (DEPs) were calculated. The functional analysis of the DEPs was performed using Gene Ontology and Kyoto Encyclopedia Genes and Genomes. Pearson correlation tests were used employed to analyze the correlation between the DEPs and clinical features.

Results

A total of 13 DEPs were significantly up-regulated in the ASD group compared with the HC group. The four proteins, namely, STAMBP, ST1A1, SIRT2, and MMP-10 demonstrated good diagnostic accuracy with the corresponding AUCs (95% confidence interval, CI) of 0.7218 (0.5946-0.8489), 0.7107 (0.5827-0.8387), 0.7016 (0.5713-0.8319), and 0.7006 (0.568-0.8332). Each panel of STAMBP and any other differential protein demonstrated a better classification performance [AUC values from 0.7147 (0.5858-0.8436, STAMBP/AXIN1) to 0.7681 (0.6496-0.8867, STAMBP/MMP-10)]. These DEP profiles were enriched in immune and inflammatory response pathways, including TNF and NOD-like receptor signaling pathways. The interaction between STAMBP and SIRT2 (R = 0.97, p = 8.52 × 10^-39) was found to be the most significant. In addition, several DEPs related to clinical features in patients with ASD, particularly AXIN1 (R = 0.36, p = 0.006), SIRT2 (R = 0.34, p = 0.010) and STAMBP (R = 0.34, p = 0.010), were positively correlated with age and parity, indicating that older age and higher parity may be the inflammation-related clinical factors in ASD.

Conclusion

Inflammation plays a crucial role in ASD, and the up-regulated inflammatory proteins may serve as potential early diagnostic biomarkers for ASD.